Difference between revisions of "Wikipedia Extractor"

From Apertium
Jump to navigation Jump to search
 
(24 intermediate revisions by 6 users not shown)
Line 1: Line 1:
{{TOCD}}
{{TOCD}}

A single script to extract wikipedia dumps to text format (able to take compressed input and write compressed output) based on the documentation below was put together by BenStobaugh during GCI 2013. It is available in SVN at [https://svn.code.sf.net/p/apertium/svn/trunk/apertium-tools/WikiExtractor.py https://svn.code.sf.net/p/apertium/svn/trunk/apertium-tools/WikiExtractor.py]

== Goal ==
== Goal ==


This tool extracts main text from Wikipedia, producing a text corpus, which is useful for training unsupervised part-of-speech taggers, n-gram language models, etc.
This tool extracts main text from xml [[Wikipedia dump]] files (at https://dumps.wikimedia.org/backup-index.html, ideally the "'''pages-articles.xml.bz2'''" file), producing a text corpus, which is useful for training unsupervised part-of-speech taggers, n-gram language models, etc.

⚫
== Tool ==
http://code.google.com/p/natural-language-qa/source/browse/MakeCorpus/WikiExtractor.py

License GPL-V3.

== Applicable ==
Work well : '''Wikipedia''', '''Wikivoyage''', '''Wikibooks'''

With problem: '''Wiktionary''' (Mistakenly, not all articles fully included, and foreign words' explanations included.)

(Thanks to the feedback by Per Tunedal!)

== Usage ==

=== 1. Get the script ===

http://code.google.com/p/natural-language-qa/source/browse/MakeCorpus/WikiExtractor.py

⚫
=== 2. Download the Wikipedia dump file ===

http://dumps.wikimedia.org/backup-index.html

Take Chinese as an example, download the file '''zhwiki-20130625-pages-articles.xml.bz2''' on this page http://dumps.wikimedia.org/zhwiki/20130625/. Alternatively, we can download the latest version on this page, http://dumps.wikimedia.org/zhwiki/lastest/

=== 3. Use the script ===
<pre>
mkdir output

bzcat zhwiki-20130625-pages-articles.xml.bz2 | ./WikiExtractor -o output

cat output/*/* > zhwiki.text

</pre>


It was modified by a number of people, including by BenStobaugh during Google Code-In 2013, and can be cloned from GitHub at [https://github.com/apertium/WikiExtractor https://github.com/apertium/WikiExtractor].
Optionally, we can use


This version is much simpler than the old version. This version auto-removes any formatting and only outputs the text to one file. To use it, simply use the following command in your terminal, where dump.xml is the Wikipedia dump
"-c" for compression for saving disk space, and


$ python3 WikiExtractor.py --infn dump.xml.bz2
"-b" for setting specified bytes per output file.


(Note: If you are on a Mac, make sure that <tt>--</tt> is really two hyphens and not an em-dash like this: &mdash;).
More information please type "./WikiExtractor --help".


This will run through all of the articles, get all of the text and put it in wiki.txt. This version also supports compression (BZip2 and Gzip), so you can use <code>dump.xml.bz2</code> or <code>dump.xml.gz</code> instead of <code>dump.xml.</code> You can also compress (Bzip2) the output file by adding <code>--compress</code> to the command.
Ok, let's have a cup of tea and come back an hour later. The output should be '''output/AA/wikiXX''', where wikiXX are the extracted texts.


You can also run <code>python3 WikiExtractor.py --help</code> to get more details.
=== 4. clean up "<>" tags ===


⚫
== Steps ==
We are only one step away from the final text corpus, because there are still links in wikiXX files. Let's use the following tiny script to filter out "<>" tags and special "__XXX__" marks.


Here's a simple step-by-step guide to the above.
<pre>


# Get the <code>WikiExtractor.py</code> script from https://github.com/apertium/WikiExtractor:
#! /usr/bin/python
#: <code>$ wget https://raw.githubusercontent.com/apertium/WikiExtractor/master/WikiExtractor.py</code>
# -*- coding:utf-8 -*-
# Download the Wikipedia dump for the language in question from http://dumps.wikimedia.org/backup-index.html. The below uses a hypothetical file name for a language with the <tt>xyz</tt> code:
import sys
#: <code>$ wget https://dumps.wikimedia.org/xyzwiki/20230120/xyzwiki-20230120-pages-articles.xml.bz2</code>
import re
⚫
# Run the script on the Wikipedia dump file:
re1 = re.compile(ur"<.*?>") # ref tags
#: <code>$ python3 WikiExtractor.py --infn xyzwiki-20230120-pages-articles.xml.bz2 --compress</code>
re2 = re.compile(ur"__[A-Z]+__") # special marks e.g. __TOC__ __NOTOC__
line = sys.stdin.readline()
while line != "":
line = re1.sub("", re2.sub("", line))
print line,
line = sys.stdin.readline()
</pre>


This will output a file called <code>wiki.txt.bz2</code>. You will probably want to rename it to something like <code>xyz.wikipedia.20230120.txt.bz2</code>.
Save the above lines in a file '''filter.py''', and:


==See also==
<pre>
* [[ Wikipedia dumps ]]
python filter.py < zhwiki.text > zhwiki.filter.text
</pre>


=== 5. done :) ===


[[Category:Tools]]
[[Category:Resources]]
[[Category:Development]]
[[Category:Corpora]]
[[Category:Documentation in English]]

Latest revision as of 18:55, 30 January 2023

Goal[edit]

This tool extracts main text from xml Wikipedia dump files (at https://dumps.wikimedia.org/backup-index.html, ideally the "pages-articles.xml.bz2" file), producing a text corpus, which is useful for training unsupervised part-of-speech taggers, n-gram language models, etc.

It was modified by a number of people, including by BenStobaugh during Google Code-In 2013, and can be cloned from GitHub at https://github.com/apertium/WikiExtractor.

This version is much simpler than the old version. This version auto-removes any formatting and only outputs the text to one file. To use it, simply use the following command in your terminal, where dump.xml is the Wikipedia dump 

$ python3 WikiExtractor.py --infn dump.xml.bz2

(Note: If you are on a Mac, make sure that -- is really two hyphens and not an em-dash like this: —).

This will run through all of the articles, get all of the text and put it in wiki.txt. This version also supports compression (BZip2 and Gzip), so you can use dump.xml.bz2 or dump.xml.gz instead of dump.xml. You can also compress (Bzip2) the output file by adding --compress to the command.

You can also run python3 WikiExtractor.py --help to get more details.

Steps[edit]

Here's a simple step-by-step guide to the above.

  1. Get the WikiExtractor.py script from https://github.com/apertium/WikiExtractor:
    $ wget https://raw.githubusercontent.com/apertium/WikiExtractor/master/WikiExtractor.py
  2. Download the Wikipedia dump for the language in question from http://dumps.wikimedia.org/backup-index.html. The below uses a hypothetical file name for a language with the xyz code:
    $ wget https://dumps.wikimedia.org/xyzwiki/20230120/xyzwiki-20230120-pages-articles.xml.bz2
  3. Run the script on the Wikipedia dump file:
    $ python3 WikiExtractor.py --infn xyzwiki-20230120-pages-articles.xml.bz2 --compress

This will output a file called wiki.txt.bz2. You will probably want to rename it to something like xyz.wikipedia.20230120.txt.bz2.

See also[edit]

Retrieved from "https://wiki.apertium.org/w/index.php?title=Wikipedia_Extractor&oldid=74186"